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Snowflake SnowPro Core SnowPro Core Dumps in PDF

Free Snowflake SnowPro Core Real Questions (page: 12)

SnowPro Core PDF — 1300 Questions

The FLATTEN function is used to query which type of data in Snowflake?

  1. Structured data
  2. Semi-structured data
  3. Both of the above
  4. None of the above

Answer(s): B


Reference:

https://docs.snowflake.com/en/user-guide/querying-semistructured.html



True or False: An active warehouse is required to run a COPY INTO statement.

  1. True
  2. False

Answer(s): A



True or False: AWS Private Link provides a secure connection from the Customer's on-premise data center to the Snowflake.

  1. True
  2. False

Answer(s): B


Reference:

https://docs.snowflake.com/en/user-guide/admin-security-privatelink.html



True or False: Snowflake's Global Services Layer gathers and maintains statistics on all columns in all micro-partitions.

  1. True
  2. False

Answer(s): A



True or False: It is best practice to define a clustering key on every table.

  1. True
  2. False

Answer(s): B


Reference:

https://dwgeek.com/how-to-create-snowflake-clustered-tables-examples.html/



Which of the following statements is true of Snowflake?

  1. It was built specifically for the cloud
  2. It was built as an on-premises solution and then ported to the cloud
  3. It was designed as a hybrid database to allow customers to store data either on premises or in the cloud
  4. It was built for Hadoop architecture
  5. It's based on an Oracle Architecture

Answer(s): A


Reference:

https://www.stitchdata.com/resources/snowflake/



What is the minimum Snowflake edition that provides multi-cluster warehouses and up to 90 days of Time Travel?

  1. Standard
  2. Premier
  3. Enterprise
  4. Business Critical Edition

Answer(s): C


Reference:

https://docs.snowflake.com/en/user-guide/intro-editions.html



How many shares can be consumed by a single Data Consumer?

  1. 1
  2. 10
  3. 100, but can be increased by contacting support
  4. Unlimited

Answer(s): D


Reference:

https://docs.snowflake.com/en/user-guide/data-sharing-intro.html



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A
AI Tutor Explanation
9/24/2026 11:16:10 AM

Question 5:
Correct answer: A — True
Snowflake supports bulk unloading with COPY INTO <location> using a SELECT statement as the source. This allows you to export either:

  • All or selected columns from a table
  • Filtered rows using WHERE
  • Transformed or joined data

Example: 
sql 
COPY INTO @my_stage/export/ 
FROM ( 
  SELECT customer_id, order_date 
  FROM orders 
  WHERE order_date >= '2025-01-01' 
);
Snowflake writes the query results to files in the specified internal or external stage. The key distinction is that COPY INTO is used for bulk movement of data, while a regular SELECT only returns query results and does not unload them to staged files.

Pune, India
A
AI Tutor Explanation
9/3/2026 5:25:59 AM

Question 1:
Correct answer: B — Clustering keys
Snowflake automatically organizes table data into micro-partitions and uses natural clustering based on how data is loaded. However, for large tables where query performance depends on particular columns, you can define a clustering key.
A clustering key:

  • Specifies one or more columns or expressions Snowflake should use when organizing table data.
  • Helps Snowflake’s automatic reclustering keep related rows grouped together.
  • Can improve pruning for queries that frequently filter or join on those columns.

Why the others are incorrect:
  • Micro-partitions: Snowflake’s storage units; users do not directly define them as an override mechanism.
  • Key partitions: Not a Snowflake feature.
  • Clustered partitions: Not the name of the customer-defined mechanism.

The answer key’s B is correct.

Johannesburg, South Africa
A
AI Tutor Explanation
8/28/2026 11:39:56 AM

Question 17:
Correct answer: D — To accommodate a more complex workload.
Increasing a Virtual Warehouse from X-Small to Medium is vertical scaling. The larger warehouse provides more compute resources, which can improve performance for:

  • Complex queries
  • Large scans or joins
  • Resource-intensive transformations
  • Queries involving substantial processing

Why the others are less appropriate:
  • More users / more queries: This usually calls for multi-cluster warehouses, which add clusters to handle concurrency.
  • Fluctuations in workload: This is typically addressed with auto-suspend/auto-resume or multi-cluster scaling, rather than simply choosing a larger warehouse.

Thus, warehouse size primarily affects the compute power available to individual workloads.

Chennai, India
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